Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 48.98
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 52.48
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 360.
Condition: New. pages cm.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 56.67
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
£ 49.16
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
£ 62.31
Convert currencyQuantity: 3 available
Add to basketCondition: New. pages cm.
£ 62.81
Convert currencyQuantity: 4 available
Add to basketCondition: New. pages cm First edition Includes bibliographical references.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
£ 57.81
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 80.62
Convert currencyQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware - This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
£ 61.45
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032206454 ISBN 13: 9781032206455
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
£ 84.24
Convert currencyQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 114.71
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 118.42
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 121.02
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 120.94
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032206446 ISBN 13: 9781032206448
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
£ 117.56
Convert currencyQuantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811560463 ISBN 13: 9789811560460
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 124.10
Convert currencyQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDAin IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.
£ 129.54
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Seller: Books Puddle, New York, NY, U.S.A.
£ 133.26
Convert currencyQuantity: 3 available
Add to basketCondition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
£ 127.49
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Published by Taylor & Francis Ltd, London, 2023
ISBN 10: 1032206446 ISBN 13: 9781032206448
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system. This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: California Books, Miami, FL, U.S.A.
£ 141.18
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Seller: Biblios, Frankfurt am main, HESSE, Germany
£ 142.79
Convert currencyQuantity: 3 available
Add to basketCondition: New.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
£ 114.75
Convert currencyQuantity: Over 20 available
Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 170.42
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.